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Local Binary Patterns (LBP) have been used in 2-D image processing for applications such as texture segmentation and feature detection. In this paper a new 1-dimensional local binary pattern (LBP) ...
A new method, called local edge binary patterns (LEBP), is introduced in the paper, which takes the advantages of local binary patterns and local edges into account. Furthermore, several extensions to ...
Local Binary Patterns (LBP) is a type of visual descriptor used for classification in computer vision. LBP was first described in 1994 and has since been found to be a powerful feature for texture ...
Multi-scale block local binary pattern (MB-LBP), a modified LBP operator, can extract texture information at different scales of an image and is not easily affected by image noise (Liao et al., 2007; ...
Mahotas enables developers to take advantage of advanced features like local binary patterns and haralick. It can compute 2D and 3D images through its mahotas.features.haralick module, and it extracts ...
2.3.1 Local binary pattern The local binary pattern (LBP) is widely used in image processing for texture analysis because it is a simple and efficient operator to measure the spatial representation of ...
The system utilizes Viola–Jones object detection framework which is capable of processing images extremely rapidly with high detec- tion rates. In the next stage, the detected face in the image is ...
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